{
    "description": "Use Replicate API that runs Llama 13b v2 model with LLMChain",
    "usecases": ["Basic"],
    "framework": ["Langchain"],
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                "category": "Prompts",
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                        "name": "template",
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                        "placeholder": "What is a good name for a company that makes {product}?",
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                        "label": "Format Prompt Values",
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                        "acceptVariable": true,
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                "category": "LLMs",
                "description": "Use Replicate to run open source models on cloud",
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                        "label": "Temperature",
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                        "label": "Max Tokens",
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                        "additionalParams": true,
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                        "label": "Top Probability",
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                        "step": 0.1,
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                        "optional": true,
                        "additionalParams": true,
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                        "label": "Repetition Penalty",
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                        "additionalParams": true,
                        "id": "replicate_0-input-repetitionPenalty-number"
                    },
                    {
                        "label": "Additional Inputs",
                        "name": "additionalInputs",
                        "type": "json",
                        "description": "Each model has different parameters, refer to the specific model accepted inputs. For example: <a target=\"_blank\" href=\"https://replicate.com/a16z-infra/llama13b-v2-chat/api#inputs\">llama13b-v2</a>",
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                        "label": "Cache",
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                "inputParams": [
                    {
                        "label": "Chain Name",
                        "name": "chainName",
                        "type": "string",
                        "placeholder": "Name Your Chain",
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                "inputAnchors": [
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                        "optional": true,
                        "id": "llmChain_0-input-outputParser-BaseLLMOutputParser"
                    },
                    {
                        "label": "Input Moderation",
                        "description": "Detect text that could generate harmful output and prevent it from being sent to the language model",
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                        ],
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